Your primary focus will be to architect and build a robust, automated pipeline that converts 2D floor plan images into clean, well\-structured 3D models. The success of this role is measured by the ability to reliably produce standard 3D files from varied 2D inputs. **Key Responsibilities:** * Develop a Conversion Pipeline: + Create an automated script or application that ingests 2D floor plan images (e.g., JPG, PNG, PDF). + Implement computer vision algorithms to perform essential pre\-processing tasks, including noise reduction, perspective correction, and scaling. * Geometric Extraction and Processing + Utilize vectorization techniques to trace raster images, identifying and converting walls, doors, and windows into geometric primitives (lines, polygons). + Develop logic to accurately extrude the 2D vector data into 3D wall geometry. * Model Generation and Export + Ensure the generated 3D models are clean, manifold, and adhere to 3D best practices. + Automate the process of creating openings for doors and windows in the 3D mesh. + The final, primary deliverable will be the exported 3D model in a common, usable format such as FBX, GLB, or a structured .blend file * Applied Research and Innovation: + Translate cutting\-edge research in 2D\-to\-3D conversion, computer vision, and generative AI into practical, production\-ready code, ensuring our pipeline remains at the forefront of the industry. * Optimization and Refinement + Continuously improve the pipeline's accuracy and resilience to handle variations in the quality and style of input floor plans. **Required Skills \& Experience:** * Essential Hard Skills + Expert\-level Python scripting (or equivalent), with a strong portfolio of automation projects. + Strong background in Computer Vision for tasks including edge detection, contour analysis, and image segmentation. + Solid understanding of computational geometry, 3D mesh topology, and data structures. * Highly Desirable Skills + Demonstrated ability to translate academic research (e.g., from arXiv, SIGGRAPH) and emerging open\-source models into functional, actionable code. + Experience with machine learning models for object detection or semantic segmentation in architectural drawings. + Familiarity with various 2D/3D file formats and the nuances of converting between them (e.g., SVG, DXF, FBX, GLB/glTF). * Profile + You are a focused problem\-solver who excels at tackling specific, deep technical challenges. You are a practical innovator with a passion for bridging the gap between theoretical research and tangible engineering outcomes. You actively follow the latest developments in the field and are driven to implement them.